Evidence map›Paper›PMID 33962641›Full record

ReviewCardiovascular diabetology2021

Variability of risk factors and diabetes complications.

Antonio Ceriello, Francesco Prattichizzo

Abstract readReview
In one paragraph

Review in Cardiovascular diabetology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

95 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Review
  6. Article
  7. Effect of diabetes on the efficacy and safety ofJournal of ginseng research · 2026
    Article
  8. Identification of Biomarkers forCurrent issues in molecular biology · 2026
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

35 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Antonio CerielloIRCCS MultiMedica, Via Gaudenzio Fantoli, 16/15, 20138, Milan, Italy. antonio.ceriello@hotmail.it.
Francesco PrattichizzoIRCCS MultiMedica, Via Gaudenzio Fantoli, 16/15, 20138, Milan, Italy. francesco.prattichizzo@multimedica.it.ORCID 0000-0002-2959-2658

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several studies suggest that, together with glucose variability, the variability of other risk factors, as blood pressure, plasma lipids, heart rate, body weight, and serum uric acid, might play a role in the development of diabetes complications. Moreover, the variability of each risk factor, when contemporarily present, may have additive effects. However, the question is whether variability is causal or a marker. Evidence shows that the quality of care and the attainment of the target impact on the variability of all risk factors. On the other hand, for some of them causality may be considered. Although specific studies are still lacking, it should be useful checking the variability of a risk factor, together with its magnitude out of the normal range, in clinical practice. This can lead to an improvement of the quality of care, which, in turn, could further hesitate in an improvement of risk factors variability.

Indexed as

Diabetes ComplicationsDiabetes MellitusHumansPrognosisRisk AssessmentRisk FactorsBlood pressure variabilityBody weight variabilityCardiovascular complicationsDiabetes mellitusGlucose variabilityHeart rate variabilityLipids variabilityMicrovascular complicationsOxidative stressUric acid variability

Identifiers

PMID33962641
PMCPMC8106175

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.